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NeuroVox v2.0

Hardware
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NeuroVox v2.0 is built on a custom 200×50mm 4-layer FR4 PCB in a long narrow strip form factor that wraps conformally around the forearm. The board runs four AD8232 EMG front-end ICs across four independent muscle channels, an ESP32-S3 module with native USB support, an ADS1299 8-channel biosignal ADC for high-resolution EMG acquisition, an INA333 instrumentation amplifier, a haptic feedback motor for gesture confirmation, a BNO055 IMU for motion artifact detection and rejection, dry reusable Ag/AgCl electrode contacts integrated directly into the PCB edge fingers eliminating separate lead wires entirely, a MCP73831 LiPo charger, a TPS61023 boost converter, a 5000mAh LiPo battery, a MAX98357A I2S amplifier driving a 3W 4-ohm speaker, RGB status LEDs, and a USB-C port for charging and firmware flashing.

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48m logged

I’m currently developing NeuroVox v2.0, an EMG-based assistive communication wearable that converts forearm muscle activity into contextual speech. Today’s work focused entirely on research and system design while awaiting hardware funding. I studied optimal dry Ag/AgCl electrode placement over the flexor digitorum superficialis and extensor digitorum for reliable multi-channel EMG acquisition, designed the analog signal chain using AD8232 amplifiers, INA333 instrumentation amplifiers, and an ADS1299 24-bit ADC, and explored IMU-based motion artifact rejection. I also planned the ESP32-S3 firmware architecture, Bluetooth communication, AI-powered speech generation pipeline, PCB noise isolation strategy, and the mechanical enclosure for the wearable.

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